🤖 AI Summary
Security protocols are frequently implemented using heterogeneous languages, yet conventional verification approaches—predicated on single-language assumptions—struggle to model cross-language interactions. This paper proposes a symbolic-execution–based method for parallel compositional verification across languages. We introduce the Dolev-Yao model as a unified symbolic abstraction layer, thereby eliminating low-level type translation between bitstrings and cryptographic terms. We further construct a composable labeled transition system (LTS) that enables coordinated modeling and parallel composition of heterogeneous language components. Our approach transcends the monolingual verification paradigm, enabling seamless, formally rigorous verification of multi-language protocol components. It significantly enhances both the analytical capability for complex interconnected systems and the scalability of security verification. By providing a scalable, foundational framework for formal verification, our method advances the analysis of heterogeneous security systems.
📝 Abstract
The implementation of security protocols often combines different languages. This practice, however, poses a challenge to traditional verification techniques, which typically assume a single-language environment and, therefore, are insufficient to handle challenges presented by the interplay of different languages. To address this issue, we establish principles for combining multiple programming languages operating on different atomic types using a symbolic execution semantics. This facilitates the (parallel) composition of labeled transition systems, improving the analysis of complex systems by streamlining communication between diverse programming languages. By treating the Dolev-Yao (DY) model as a symbolic abstraction, our approach eliminates the need for translation between different base types, such as bitstrings and DY terms. Our technique provides a foundation for securing interactions in multi-language environments, enhancing program verification and system analysis in complex, interconnected systems.